Accession Number:

ADA102025

Title:

Sequential Decision Rules for Failure Detection.

Descriptive Note:

Technical paper,

Corporate Author:

MASSACHUSETTS INST OF TECH CAMBRIDGE LAB FOR INFORMATION AND DECISION SYSTEMS

Personal Author(s):

Report Date:

1981-07-01

Pagination or Media Count:

12.0

Abstract:

The formulation of the decision making of a failure detection process as a Bayes sequential decision problem BSDP provides a simple conceptualization of the decision rule design problem. As the optimal Bayes rule is not computable, a methodology that is baed on the Baysian approach and aimed at a reduced computational requirement is developed for designing suboptimal rules. A numerical algorithm is constructed to facilitate the design and performance evaluation of these suboptimal rules. The result of applying this design methodology to an example shows that this approach is a useful one. Author

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE